Jacqueline Michelle Beinecke

According to our database, Jacqueline Michelle Beinecke authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.

Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild

IEEE J. Biomed. Health Informatics, April, 2024

2023

Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.

Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.

Jacqueline Michelle Beinecke, Patrick Anders, Tino Schurrat, Dominik Heider, Markus Luster, Damiano Librizzi, Anne-Christin Hauschild

Comput. Biol. Medicine, 2022

2021

Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making.

Jacqueline Michelle Beinecke, Dominik Heider

BioData Min., 2021